THE POTENTIAL OF LIGHT LASER SCANNERS DEVELOPED FOR UNMANNED AERIAL VEHICLES – THE REVIEW AND ACCURACY

29 citations as recorded by crossref.

1. Individual Tree Detection in a Eucalyptus Plantation Using Unmanned Aerial Vehicle (UAV)-LiDAR J. Picos et al. 10.3390/rs12050885
2. Quantifying the Accuracy of UAS-Lidar Individual Tree Detection Methods Across Height and Diameter at Breast Height Sizes in Complex Temperate Forests B. Fraser et al. 10.3390/rs17061010
3. Evaluation of the accuracy of lidar data acquired using a UAS for levee monitoring: preliminary results K. Bakuła et al. 10.1080/01431161.2016.1277044
4. Assessing UAV-based laser scanning for monitoring glacial processes and interactions at high spatial and temporal resolutions N. Baurley et al. 10.3389/frsen.2022.1027065
5. The Effectiveness of a UAV-Based LiDAR Survey to Develop Digital Terrain Models and Topographic Texture Analyses P. Bartmiński et al. 10.3390/s23146415
6. Individual Tree Canopy Parameters Estimation Using UAV-Based Photogrammetric and LiDAR Point Clouds in an Urban Park E. Ghanbari Parmehr & M. Amati 10.3390/rs13112062
7. Investigating Practical Impacts of Using Single-Antenna and Dual-Antenna GNSS/INS Sensors in UAS-Lidar Applications R. Brazeal et al. 10.3390/s21165382
8. Rill Erosion and Drainage Development in Post-Landslide Settings Using UAV–LiDAR Data X. Chen et al. 10.3390/soilsystems9020042
9. Study on the potential of UAV scanning for measuring complex technical infrastructure A. Uznański & G. Lenda 10.1080/15732479.2025.2451327
10. Accuracy Aspects of an Unpiloted Aerial Vehicle Equipped with a Survey Grade Laser Scanner K. NAKANO 10.4287/jsprs.62.119
11. Low-Cost iOS-Based Automated Detection of Under-Construction Interior Drywalls: An Exploratory Study Y. Zhang et al. 10.1061/JCEMD4.COENG-16417
12. Quantitative Comparison of UAS-Borne LiDAR Systems for High-Resolution Forested Wetland Mapping N. Pricope et al. 10.3390/s20164453
13. Apple orchard inventory with a LiDAR equipped unmanned aerial system E. Hadas et al. 10.1016/j.jag.2019.101911
14. Improving Chinese Fir Plantations DBH Inversion Accuracy Using Ensemble Learning Models Base on UAV-LiDAR J. Xu et al. 10.1109/JSTARS.2025.3560704
15. Geometric Targets for UAS Lidar B. Wilkinson et al. 10.3390/rs11243019
16. Mapping Forest Parameters to Model the Mobility of Terrain Vehicles T. Mikita et al. 10.3390/f15111882
17. Machine Learning for Precise Rice Variety Classification in Tropical Environments Using UAV-Based Multispectral Sensing A. Wijayanto et al. 10.3390/agriengineering5040123
18. The Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data Enhancement A. Rzonca & M. Twardowski 10.3390/rs14246391
19. Scan Pattern Characterization of Velodyne VLP-16 Lidar Sensor for UAS Laser Scanning H. Lassiter et al. 10.3390/s20247351
20. Using Drones for Dendrometric Estimations in Forests: A Bibliometric Analysis B. Silva et al. 10.3390/f15111993
21. Comparability of multi‐temporal DTMs derived from different LiDAR platforms: Error sources and uncertainties in the application of geomorphic impact studies N. Kamp et al. 10.1002/esp.5540
22. Estimation of Sugarcane Yield Using a Machine Learning Approach Based on UAV-LiDAR Data J. Xu et al. 10.3390/rs12172823
23. Accuracy Assessment of Point Clouds from LiDAR and Dense Image Matching Acquired Using the UAV Platform for DTM Creation A. Salach et al. 10.3390/ijgi7090342
24. Quality Analysis of Direct Georeferencing in Aspects of Absolute Accuracy and Precision for a UAV-Based Laser Scanning System A. Dreier et al. 10.3390/rs13183564
25. Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH Measurement B. Feng et al. 10.3390/rs14122753
26. Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Study L. Pereira et al. 10.3390/rs13030419
27. Demonstration of a compact double-reflection transmissive beam scanner operating at 1550  nm wavelength J. Baker et al. 10.1364/AO.514908
28. Single-Pass UAV-Borne GatorEye LiDAR Sampling as a Rapid Assessment Method for Surveying Forest Structure G. Prata et al. 10.3390/rs12244111
29. Estimating Biomass in Eucalyptus globulus and Pinus pinaster Forests Using UAV-Based LiDAR in Central and Northern Portugal L. Ferreira et al. 10.3390/land14071460